Integrating meteorological and indigenous knowledge-based seasonal climate forecasts for the agricultural sector : lessons from participatory action research in sub-Saharan Africa

Gina Ziervogel, Alfred Opere · 2010

Summary. This paper examines how combining meteorological data with indigenous climate knowledge improves seasonal forecasts for agriculture in sub-Saharan Africa. Through participatory action research, the authors demonstrate that integrating local knowledge systems with scientific forecasting creates more effective and culturally relevant climate predictions that farmers can use to make better agricultural decisions.

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Ziervogel, G., & Opere, A.. (2010). Integrating meteorological and indigenous knowledge-based seasonal climate forecasts for the agricultural sector : lessons from participatory action research in sub-Saharan Africa. http://idl-bnc.idrc.ca/dspace/bitstream/10625/46185/1/132676.pdf

@article{ziervogel-2010-integrating-meteorological-indigenous-knowledge-based,
  title   = {Integrating meteorological and indigenous knowledge-based seasonal climate forecasts for the agricultural sector : lessons from participatory action research in sub-Saharan Africa},
  author  = {Gina Ziervogel and Alfred Opere},
  year    = {2010},
  url     = {http://idl-bnc.idrc.ca/dspace/bitstream/10625/46185/1/132676.pdf}
}

TY  - JOUR
TI  - Integrating meteorological and indigenous knowledge-based seasonal climate forecasts for the agricultural sector : lessons from participatory action research in sub-Saharan Africa
AU  - Gina Ziervogel
AU  - Alfred Opere
PY  - 2010
UR  - http://idl-bnc.idrc.ca/dspace/bitstream/10625/46185/1/132676.pdf
ER  -

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Categories: indigenous-innovation, climate-and-environment, food-systems
Added: 2026-04-28